Hanrui Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 63

Top Topics

Language Understanding

Correlated Noise

Top Venues

Publications

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen
Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR (2024)
Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA (2024)
Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR (2024)
Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA (2024)
Pingzhi Li, Junyu Liu, Hanrui Wang, Tianlong Chen
Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent. CoRR (2024)
Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. QCE (2023)
Han Zheng, Christopher Kang, Gokul Subramanian Ravi, Hanrui Wang, Kanav Setia, Frederic T. Chong, Junyu Liu
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture. QCE (2023)
Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR (2023)
Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC (2023)
Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. CoRR (2023)
Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. CoRR (2023)
Jessica Zheng, Hanrui Wang, Anand Chandrasekhar, Aaron D. Aguirre, Song Han, Hae-Seung Lee, Charles G. Sodini
Machine Learning for Arterial Blood Pressure Prediction. CHIL (2023)
Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. CoRR (2023)
Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Hanrui Wang, Ferhat Erata, Song Han, Yongshan Ding, Jakub Szefer
Design of Quantum Computer Antivirus. HOST (2023)
Zhiding Liang, Hanrui Wang
QuCS: A Lecture Series on Quantum Computer Software and System. CoRR (2023)
Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR (2023)
Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan
A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. ISLPED (2023)
Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR (2023)
Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE (2023)
Zhiding Liang, Hanrui Wang
QuCS: A Lecture Series on Quantum Computer Software and System. QCE (2023)
Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut Acar, Song Han
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR (2023)
Ruicong Chen, Hanrui Wang, Anantha P. Chandrakasan, Hae-Seung Lee
RaM-SAR: A Low Energy and Area Overhead, 11.3fJ/conv.-step 12b 25MS/s Secure Random-Mapping SAR ADC with Power and EM Side-channel Attack Resilience. VLSI Technology and Circuits (2022)
Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC (2022)
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA (2022)
Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR (2022)
Han Zheng, Gokul Subramanian Ravi, Hanrui Wang, Kanav Setia, Frederic T. Chong, Junyu Liu
Benchmarking variational quantum circuits with permutation symmetry. CoRR (2022)
Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye
DeepVS: a deep learning approach for RF-based vital signs sensing. BCB (2022)
Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR (2022)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27 (3) (2022)
Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian
PAN: Pulse Ansatz on NISQ Machines. CoRR (2022)
Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR (2022)
Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD (2022)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR (2022)
Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC (2022)
Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR (2022)
Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi
Variational Quantum Pulse Learning. QCE (2022)
Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD (2022)
Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR (2022)
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR (2021)
Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He
A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM (2021)
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han
PointAcc: Efficient Point Cloud Accelerator. CoRR (2021)
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han
PointAcc: Efficient Point Cloud Accelerator. MICRO (2021)
Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. CoRR (2021)
Hanrui Wang, Zhekai Zhang, Song Han
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. HPCA (2021)
Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. CoRR (2020)
Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally
SpArch: Efficient Architecture for Sparse Matrix Multiplication. CoRR (2020)
Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. DAC (2020)
Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally
SpArch: Efficient Architecture for Sparse Matrix Multiplication. HPCA (2020)
Hanrui Wang, Zhekai Zhang, Song Han
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. CoRR (2020)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR (2020)
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. ACL (2020)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR (2020)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) (2020)
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR (2020)
Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han
MicroNet for Efficient Language Modeling. CoRR (2020)
Yifan Liang, Chang Liu, Hanrui Wang, KunHong Liu
The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming. ISPA/BDCloud/SocialCom/SustainCom (2019)
Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS (2019)
Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han
MicroNet for Efficient Language Modeling. NeurIPS (Competition and Demos) (2019)
Hanrui Wang, Jiacheng Yang, Hae-Seung Lee, Song Han
Learning to Design Circuits. CoRR (2018)
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han
AMC: AutoML for Model Compression and Acceleration on Mobile Devices. ECCV (7) (2018)
Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang
Understanding Performance Differences of FPGAs and GPUs: (Abtract Only). FPGA (2018)
Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang
Understanding Performance Differences of FPGAs and GPUs. FCCM (2018)